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<div class="title">PartialReduxEvaluator.h</div>  </div>
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<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2011-2018 Gael Guennebaud &lt;gael.guennebaud@inria.fr&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#ifndef EIGEN_PARTIALREDUX_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#define EIGEN_PARTIALREDUX_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> { </div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment">/***************************************************************************</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment">*</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment">* This file provides evaluators for partial reductions.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment">* There are two modes:</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment">*</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="comment">*  - scalar path: simply calls the respective function on the column or row.</span></div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="comment">*    -&gt; nothing special here, all the tricky part is handled by the return</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment">*       types of VectorwiseOp&#39;s members. They embed the functor calling the</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="comment">*       respective DenseBase&#39;s member function.</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment">*</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment">*  - vectorized path: implements a packet-wise reductions followed by</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="comment">*    some (optional) processing of the outcome, e.g., division by n for mean.</span></div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="comment">*</span></div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="comment">* For the vectorized path let&#39;s observe that the packet-size and outer-unrolling</span></div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment">* are both decided by the assignment logic. So all we have to do is to decide</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment">* on the inner unrolling.</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment">*</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment">* For the unrolling, we can reuse &quot;internal::redux_vec_unroller&quot; from Redux.h,</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment">* but be need to be careful to specify correct increment.</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment">*</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment">***************************************************************************/</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160; </div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="comment">/* logic deciding a strategy for unrolling of vectorized paths */</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> Evaluator&gt;</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="keyword">struct </span>packetwise_redux_traits</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    OuterSize = int(Evaluator::IsRowMajor) ? Evaluator::RowsAtCompileTime : Evaluator::ColsAtCompileTime,</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    Cost = OuterSize == <a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> ? <a class="code" href="namespaceEigen.html#a3163430a1c13173faffde69016b48aaf">HugeCost</a></div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;         : OuterSize * Evaluator::CoeffReadCost + (OuterSize-1) * functor_traits&lt;Func&gt;::Cost,</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    Unrolling = Cost &lt;= EIGEN_UNROLLING_LIMIT ? CompleteUnrolling : NoUnrolling</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;  };</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160; </div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;};</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160; </div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="comment">/* Value to be returned when size==0 , by default let&#39;s return 0 */</span></div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> PacketType,<span class="keyword">typename</span> Func&gt;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;PacketType packetwise_redux_empty_value(<span class="keyword">const</span> Func&amp; ) {</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  <span class="keyword">const</span> <span class="keyword">typename</span> unpacket_traits&lt;PacketType&gt;::type zero(0);</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="keywordflow">return</span> pset1&lt;PacketType&gt;(zero);</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;}</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160; </div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="comment">/* For products the default is 1 */</span></div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> PacketType,<span class="keyword">typename</span> Scalar&gt;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;PacketType packetwise_redux_empty_value(<span class="keyword">const</span> scalar_product_op&lt;Scalar,Scalar&gt;&amp; ) {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;  <span class="keywordflow">return</span> pset1&lt;PacketType&gt;(Scalar(1));</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;}</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160; </div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="comment">/* Perform the actual reduction */</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> Evaluator,</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;         <span class="keywordtype">int</span> Unrolling = packetwise_redux_traits&lt;Func, Evaluator&gt;::Unrolling</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;&gt;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="keyword">struct </span>packetwise_redux_impl;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160; </div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="comment">/* Perform the actual reduction with unrolling */</span></div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> Evaluator&gt;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="keyword">struct </span>packetwise_redux_impl&lt;Func, Evaluator, CompleteUnrolling&gt;</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;{</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;  <span class="keyword">typedef</span> redux_novec_unroller&lt;Func,Evaluator, 0, Evaluator::SizeAtCompileTime&gt; Base;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Evaluator::Scalar Scalar;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">static</span> EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;  PacketType run(<span class="keyword">const</span> Evaluator &amp;eval, <span class="keyword">const</span> Func&amp; func, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> <span class="comment">/*size*/</span>)</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;  {</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">return</span> redux_vec_unroller&lt;Func, Evaluator, 0, packetwise_redux_traits&lt;Func, Evaluator&gt;::OuterSize&gt;::template run&lt;PacketType&gt;(eval,func);</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  }</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;};</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160; </div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="comment">/* Add a specialization of redux_vec_unroller for size==0 at compiletime.</span></div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="comment"> * This specialization is not required for general reductions, which is</span></div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="comment"> * why it is defined here.</span></div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> Evaluator, <span class="keywordtype">int</span> Start&gt;</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="keyword">struct </span>redux_vec_unroller&lt;Func, Evaluator, Start, 0&gt;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;{</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keyword">static</span> EIGEN_STRONG_INLINE PacketType run(<span class="keyword">const</span> Evaluator &amp;, <span class="keyword">const</span> Func&amp; f)</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;  {</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordflow">return</span> packetwise_redux_empty_value&lt;PacketType&gt;(f);</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;  }</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;};</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160; </div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="comment">/* Perform the actual reduction for dynamic sizes */</span></div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Func, <span class="keyword">typename</span> Evaluator&gt;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="keyword">struct </span>packetwise_redux_impl&lt;Func, Evaluator, NoUnrolling&gt;</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;{</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> Evaluator::Scalar Scalar;</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> redux_traits&lt;Func, Evaluator&gt;::PacketType PacketScalar;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160; </div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="keyword">static</span> PacketType run(<span class="keyword">const</span> Evaluator &amp;eval, <span class="keyword">const</span> Func&amp; func, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> size)</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  {</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">if</span>(size==0)</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      <span class="keywordflow">return</span> packetwise_redux_empty_value&lt;PacketType&gt;(func);</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    </div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> size4 = (size-1)&amp;(~3);</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    PacketType p = eval.template packetByOuterInner&lt;Unaligned,PacketType&gt;(0,0);</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i = 1;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="comment">// This loop is optimized for instruction pipelining:</span></div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="comment">// - each iteration generates two independent instructions</span></div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="comment">// - thanks to branch prediction and out-of-order execution we have independent instructions across loops</span></div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keywordflow">for</span>(; i&lt;size4; i+=4)</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;      p = func.packetOp(p,</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;            func.packetOp(</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;              func.packetOp(eval.template packetByOuterInner&lt;Unaligned,PacketType&gt;(i+0,0),eval.template packetByOuterInner&lt;Unaligned,PacketType&gt;(i+1,0)),</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;              func.packetOp(eval.template packetByOuterInner&lt;Unaligned,PacketType&gt;(i+2,0),eval.template packetByOuterInner&lt;Unaligned,PacketType&gt;(i+3,0))));</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keywordflow">for</span>(; i&lt;size; ++i)</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;      p = func.packetOp(p, eval.template packetByOuterInner&lt;Unaligned,PacketType&gt;(i,0));</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <span class="keywordflow">return</span> p;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  }</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;};</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160; </div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;<span class="keyword">template</span>&lt; <span class="keyword">typename</span> ArgType, <span class="keyword">typename</span> MemberOp, <span class="keywordtype">int</span> Direction&gt;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="keyword">struct </span>evaluator&lt;PartialReduxExpr&lt;ArgType, MemberOp, Direction&gt; &gt;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;  : evaluator_base&lt;PartialReduxExpr&lt;ArgType, MemberOp, Direction&gt; &gt;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;{</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <span class="keyword">typedef</span> PartialReduxExpr&lt;ArgType, MemberOp, Direction&gt; XprType;</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::nested_eval&lt;ArgType,1&gt;::type ArgTypeNested;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;  <span class="keyword">typedef</span> add_const_on_value_type_t&lt;ArgTypeNested&gt; ConstArgTypeNested;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;  <span class="keyword">typedef</span> internal::remove_all_t&lt;ArgTypeNested&gt; ArgTypeNestedCleaned;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> ArgType::Scalar InputScalar;</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::Scalar Scalar;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    TraversalSize = Direction==int(<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a>) ? int(ArgType::RowsAtCompileTime) :  int(ArgType::ColsAtCompileTime)</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  };</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> MemberOp::template Cost&lt;int(TraversalSize)&gt; CostOpType;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    CoeffReadCost = TraversalSize==<a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> ? <a class="code" href="namespaceEigen.html#a3163430a1c13173faffde69016b48aaf">HugeCost</a></div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;                  : TraversalSize==0 ? 1</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;                  : int(TraversalSize) * int(evaluator&lt;ArgType&gt;::CoeffReadCost) + int(CostOpType::value),</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    </div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    ArgFlags_ = evaluator&lt;ArgType&gt;::Flags,</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160; </div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    Vectorizable_ =  bool(<span class="keywordtype">int</span>(ArgFlags_)&amp;<a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a>)</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                  &amp;&amp; bool(MemberOp::Vectorizable)</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                  &amp;&amp; (Direction==int(<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a>) ? bool(ArgFlags_&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>) : (ArgFlags_&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)==0)</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                  &amp;&amp; (TraversalSize!=0),</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                  </div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    Flags = (traits&lt;XprType&gt;::Flags&amp;<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;          | (evaluator&lt;ArgType&gt;::Flags&amp;(HereditaryBits&amp;(~<a class="code" href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">RowMajorBit</a>)))</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;          | (Vectorizable_ ? <a class="code" href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">PacketAccessBit</a> : 0)</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;          | <a class="code" href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">LinearAccessBit</a>,</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    </div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    Alignment = 0 <span class="comment">// FIXME this will need to be improved once PartialReduxExpr is vectorized</span></div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  };</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160; </div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  EIGEN_DEVICE_FUNC <span class="keyword">explicit</span> evaluator(<span class="keyword">const</span> XprType xpr)</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    : m_arg(xpr.nestedExpression()), m_functor(xpr.functor())</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  {</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(TraversalSize==<a class="code" href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Dynamic</a> ? <a class="code" href="namespaceEigen.html#a3163430a1c13173faffde69016b48aaf">HugeCost</a> : (TraversalSize==0 ? 1 : <span class="keywordtype">int</span>(CostOpType::value)));</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  }</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160; </div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  <span class="keyword">typedef</span> <span class="keyword">typename</span> XprType::CoeffReturnType CoeffReturnType;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160; </div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  <span class="keyword">const</span> Scalar coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j)<span class="keyword"> const</span></div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <span class="keywordflow">return</span> coeff(Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? j : i);</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  }</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160; </div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  <span class="keyword">const</span> Scalar coeff(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <span class="keywordflow">return</span> m_functor(m_arg.template subVector&lt;<a class="code" href="group__enums.html#gad49a7b3738e273eb00932271b36127f7">DirectionType</a>(Direction)&gt;(index));</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  }</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160; </div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;  PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> i, <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> j)<span class="keyword"> const</span></div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keywordflow">return</span> packet&lt;LoadMode,PacketType&gt;(Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? j : i);</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;  }</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  </div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  <span class="keyword">template</span>&lt;<span class="keywordtype">int</span> LoadMode,<span class="keyword">typename</span> PacketType&gt;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  PacketType packet(<a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> idx)<span class="keyword"> const</span></div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="keyword">  </span>{</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keyword">enum</span> { PacketSize = internal::unpacket_traits&lt;PacketType&gt;::size };</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <span class="keyword">typedef</span> Block&lt;<span class="keyword">const</span> ArgTypeNestedCleaned,</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;                  Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? int(ArgType::RowsAtCompileTime) : int(PacketSize),</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;                  Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? int(PacketSize) : int(ArgType::ColsAtCompileTime),</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;                  true <span class="comment">/* InnerPanel */</span>&gt; PanelType;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    </div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    PanelType panel(m_arg,</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;                    Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? 0 : idx,</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;                    Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? idx : 0,</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;                    Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? m_arg.rows() : <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(PacketSize),</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;                    Direction==<a class="code" href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Vertical</a> ? <a class="code" href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a>(PacketSize) : m_arg.cols());</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160; </div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="comment">// FIXME</span></div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    <span class="comment">// See bug 1612, currently if PacketSize==1 (i.e. complex&lt;double&gt; with 128bits registers) then the storage-order of panel get reversed</span></div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="comment">// and methods like packetByOuterInner do not make sense anymore in this context.</span></div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    <span class="comment">// So let&#39;s just by pass &quot;vectorization&quot; in this case:</span></div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keywordflow">if</span>(PacketSize==1)</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;      <span class="keywordflow">return</span> internal::pset1&lt;PacketType&gt;(coeff(idx));</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    </div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::redux_evaluator&lt;PanelType&gt; PanelEvaluator;</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    PanelEvaluator panel_eval(panel);</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> MemberOp::BinaryOp BinaryOp;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    PacketType p = internal::packetwise_redux_impl&lt;BinaryOp,PanelEvaluator&gt;::template run&lt;PacketType&gt;(panel_eval,m_functor.binaryFunc(),m_arg.outerSize());</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <span class="keywordflow">return</span> p;</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;  }</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160; </div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<span class="keyword">protected</span>:</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  ConstArgTypeNested m_arg;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;  <span class="keyword">const</span> MemberOp m_functor;</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;};</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160; </div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;} <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160; </div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160; </div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_PARTIALREDUX_H</span></div>
<div class="ttc" id="agroup__enums_html_gad49a7b3738e273eb00932271b36127f7"><div class="ttname"><a href="group__enums.html#gad49a7b3738e273eb00932271b36127f7">Eigen::DirectionType</a></div><div class="ttdeci">DirectionType</div><div class="ttdef"><b>Definition:</b> Constants.h:263</div></div>
<div class="ttc" id="agroup__enums_html_ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e"><div class="ttname"><a href="group__enums.html#ggad49a7b3738e273eb00932271b36127f7ae2efac6e74ecab5e3b0b1561c5ddf83e">Eigen::Vertical</a></div><div class="ttdeci">@ Vertical</div><div class="ttdef"><b>Definition:</b> Constants.h:266</div></div>
<div class="ttc" id="agroup__flags_html_ga1a306a438e1ab074e8be59512e887b9f"><div class="ttname"><a href="group__flags.html#ga1a306a438e1ab074e8be59512e887b9f">Eigen::PacketAccessBit</a></div><div class="ttdeci">const unsigned int PacketAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:96</div></div>
<div class="ttc" id="agroup__flags_html_ga4b983a15d57cd55806df618ac544d09e"><div class="ttname"><a href="group__flags.html#ga4b983a15d57cd55806df618ac544d09e">Eigen::LinearAccessBit</a></div><div class="ttdeci">const unsigned int LinearAccessBit</div><div class="ttdef"><b>Definition:</b> Constants.h:132</div></div>
<div class="ttc" id="agroup__flags_html_gae4f56c2a60bbe4bd2e44c5b19cbe8762"><div class="ttname"><a href="group__flags.html#gae4f56c2a60bbe4bd2e44c5b19cbe8762">Eigen::RowMajorBit</a></div><div class="ttdeci">const unsigned int RowMajorBit</div><div class="ttdef"><b>Definition:</b> Constants.h:68</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div><div class="ttdef"><b>Definition:</b> Core:139</div></div>
<div class="ttc" id="anamespaceEigen_html_a3163430a1c13173faffde69016b48aaf"><div class="ttname"><a href="namespaceEigen.html#a3163430a1c13173faffde69016b48aaf">Eigen::HugeCost</a></div><div class="ttdeci">const int HugeCost</div><div class="ttdef"><b>Definition:</b> Constants.h:46</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div><div class="ttdoc">The Index type as used for the API.</div><div class="ttdef"><b>Definition:</b> Meta.h:59</div></div>
<div class="ttc" id="anamespaceEigen_html_ad81fa7195215a0ce30017dfac309f0b2"><div class="ttname"><a href="namespaceEigen.html#ad81fa7195215a0ce30017dfac309f0b2">Eigen::Dynamic</a></div><div class="ttdeci">const int Dynamic</div><div class="ttdef"><b>Definition:</b> Constants.h:24</div></div>
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